The report of the event focuses on the pressing need to upscale wetland solutions for disaster risk reduction. The session featured prominent speakers who offered valuable insights into the potential of wetlands as nature-based solutions (NbS).
Fighting inequality for a resilient future is the theme of this year’s International Day for Disaster Risk Reduction. It highlights the vicious cycle between disasters and inequality
The AfDB teamed up with the ARC Group to establish the Africa Disaster Risk Financing Programme in 2018. This program enhances African countries’ resilience and response to climate shocks by improving their management of climate disaster risks.
PLOS highlights recent studies published in PLOS ONE including one on an informal settlement in northwestern Colombia and a paper looking at how heat waves affect visitors to the Grand Canyon National Park. The authors give PLOS insights on their work.
Representatives from high-tech companies such as Oracle, Amazon, and Esri joined community humanitarian organizers and academic researchers in energetic and open dialog on topics such as "Unleashing Innovation for Disaster Resilience".
Marking the International Day for Disaster Risk Reduction on Friday, UN chief António Guterres called on countries everywhere to boost resilience and adaptation, to build a safer and more just future for all.
To prepare the local government and community to respond before, during, and after shocks, Bhotekoshi Rural Municipality organised a functional level forecast-based action-shock responsive social protection (FbA-SRSP) simulation in September 2023.
Drought struck the North, North Central and Eastern Provinces of Sri Lanka this August and September generating cascading consequences for the entire island.
When disasters strike, they disproportionately affect marginalized communities, exacerbating existing inequalities and pushing them deeper into poverty. Fighting inequality is critical to build a stronger and safer future for everyone.
An avalanche is just a fast-moving mass of snow down a mountain. Sounds simple – but they aren't easy to predict. The Open Avalanche Project aims to reduce avalanche-related deaths using machine learning to enhance the accuracy of avalanche forecasts.